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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2024 MCQ for Mathematics of Computation is 1.78.

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Directional Newton methods in $n$ variables
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by Yuri Levin and Adi Ben-Israel;
Math. Comp. 71 (2002), 251-262
DOI: https://doi.org/10.1090/S0025-5718-01-01332-1
Published electronically: May 17, 2001

Abstract:

Directional Newton methods for functions $f$ of $n$ variables are shown to converge, under standard assumptions, to a solution of $f(\mathbf {x})=0$. The rate of convergence is quadratic, for near-gradient directions, and directions along components of the gradient of $f$ with maximal modulus. These methods are applied to solving systems of equations without inversion of the Jacobian matrix.
References
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Bibliographic Information
  • Yuri Levin
  • Affiliation: RUTCOR–Rutgers Center for Operations Research, Rutgers University, 640 Bartholomew Rd, Piscataway, New Jersey 08854-8003
  • Email: ylevin@rutcor.rutgers.edu
  • Adi Ben-Israel
  • Affiliation: RUTCOR–Rutgers Center for Operations Research, Rutgers University, 640 Bartholomew Rd, Piscataway, New Jersey 08854-8003
  • MR Author ID: 34315
  • Email: bisrael@rutcor.rutgers.edu
  • Received by editor(s): October 27, 1999
  • Received by editor(s) in revised form: May 15, 2000
  • Published electronically: May 17, 2001
  • Additional Notes: The first author was supported by the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), Rutgers University
  • © Copyright 2001 American Mathematical Society
  • Journal: Math. Comp. 71 (2002), 251-262
  • MSC (2000): Primary 65H05, 65H10; Secondary 49M15
  • DOI: https://doi.org/10.1090/S0025-5718-01-01332-1
  • MathSciNet review: 1862998